автор: Qiang Yang

поддержка
Lixin Fan is currently the Chief Scientist of Artificial Intelligence at We Bank, Shenzhen, China. His research interests include machine learning and deep learning, privacy computing and federated learning, computer vision and pattern recognition, image and video processing, mobile computing and ubiquitous computing. He was the Organizing Chair of workshops in these research areas held in CVPR, ICCV, ICPR, ACCV, Neur IPS, AAAI, and IJCAI.  He is the author of 3 edited books and more than 70 articles in peer-review international journals and conference proceedings. He holds more than one hundred patents filed in the United States, Europe and China, and he was Chairman of the IEEE P2894 Explainable Artificial Intelligence (XAI) Standard Working Group.   Chee Seng Chan is currently a Full Professor at the Faculty of Computer Science and Information Technology, Universiti Malaya, Kuala Lumpur, Malaysia. His research interests include computer vision and machine learning where he has published more than 100 papers in related top peer-review conferences and journals. He was the Organizing Chair of the Asian Conference on Pattern Recognition (2015) and General Chair of the IEEE Workshop on Multimedia Signal Processing (2019) and IEEE Visual Communications and Image Processing (2013). He was the recipient of Top Research Scientists Malaysia (TRSM) in 2022, Young Scientists Network Academy of Sciences Malaysia (YSN-ASM) in 2015 and Hitachi Research Fellowship in 2013. Besides that, he is also a senior member (IEEE), Professional Engineer (BEM) and Chartered Engineer (IET). During 2020-2022, he was seconded to the Ministry of Science, Technology and Innovation (MOSTI) as the Undersecretary for Division of Data Strategic and Foresight.   Qiang Yang is a Fellow of the Canadian Academy of Engineering (CAE) and Royal Society of Canada (RSC), Chief Artificial Intelligence Officer of We Bank, and Chair Professor at the Computer Science and Engineering Department of Hong Kong University of Science and Technology (HKUST). He is the Conference Chair of AAAI-21, Honorary Vice President of the Chinese Association for Artificial Intelligence (CAAI), President of the Hong Kong Society of Artificial Intelligence and Robotics (HKSAIR) and President of the Investment Technology League (ITL). He is a fellow of the AAAI, ACM, CAAI, IEEE, IAPR and AAAS. He was the Founding Editor in Chief of the ACM Transactions on Intelligent Systems and Technology (ACM TIST) and the Founding Editor in Chief of IEEE Transactions on Big Data (IEEE TBD). He received the ACM SIGKDD Distinguished Service Award in 2017. He served as Founding Director of Huawei’s Noah’s Ark Research Lab from 2012 to 2015, Founding Director of HKUST’s Big Data Institute, Founder of 4Paradigm and President of the IJCAI (2017-2019).  His research interests include artificial intelligence, machine learning, data mining andplanning.




17 Электронные книги Qiang Yang

Qiang Yang & Jian-Min Zhang: Constitutive Modeling of Geomaterials
The Second International Symposium on Constitutive Modeling of Geomaterials: Advances and New Applications (IS-Model 2012), is to be held in Beijing, China, during October 15-16, 2012. The symposium …
PDF
английский
€309.23
Wie Li & Qiang Yang: Smart Power Distribution Systems
Smart Power Distribution Systems: Control, Communication, and Optimization explains how diverse technologies work to build and maintain smart grids around the globe. Yang, Yang and Li present the mos …
EPUB
английский
DRM
€147.84
Alexander E. Quilici & Steven G. Woods: Constraint-Based Design Recovery for Software Reengineering
The great challenge of reverse engineering is recovering design information from legacy code: the concept recovery problem. This monograph describes our research effort in attacking this problem. It …
PDF
английский
DRM
€230.21
Zhiguo Gong & Sheng-Jun Huang: Advances in Knowledge Discovery and Data Mining
The three-volume set LNAI 11439, 11440, and 11441 constitutes the thoroughly refereed proceedings of the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2019, held in Macau …
EPUB
английский
DRM
€89.24
Zhiguo Gong & Sheng-Jun Huang: Advances in Knowledge Discovery and Data Mining
The three-volume set LNAI 11439, 11440, and 11441 constitutes the thoroughly refereed proceedings of the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2019, held in Macau …
EPUB
английский
DRM
€89.68
Zhiguo Gong & Sheng-Jun Huang: Advances in Knowledge Discovery and Data Mining
The three-volume set LNAI 11439, 11440, and 11441 constitutes the thoroughly refereed proceedings of the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2019, held in Macau …
EPUB
английский
DRM
€90.08
Joao Gama & Ronghuai Huang: Advanced Data Mining and Applications
This volume contains the proceedings of the International Conference on Advanced Data Mining and Applications (ADMA 2009), held in Beijing, China, during August 17-19, 2009. We are pleased to have a …
PDF
английский
DRM
€114.61
Qiang Yang: Intelligent Planning
"The central fact is that we are planning agents." (M. Bratman, Intentions, Plans, and Practical Reasoning, 1987, p. 2) Recent arguments to the contrary notwithstanding, it seems to be the …
PDF
английский
DRM
€57.90
Yang Gao & Qiang Yang: Artificial Intelligence
This book constitutes the refereed proceedings of the First CCF International Conference on Artificial Intelligence, CCF-ICAI 2018, held in Jinan, China in August, 2018. The 17 papers presented were …
EPUB
английский
DRM
€57.60
Wei Li & Qiang Yang: Renewable Energy Microgeneration Systems
Renewable Energy Microgeneration Systems presents the latest technology advances in small-scale energy generation (electricity and heat) in the context of low/medium voltage level electric power dist …
EPUB
английский
DRM
€163.37
Wenyuan Dai & Sinno Jialin Pan: Transfer Learning
PDF
английский
DRM
€74.07
Lixin Fan & Qiang Yang: Federated Learning
This book provides a comprehensive and self-contained introduction to federated learning, ranging from the basic knowledge and theories to various key applications. Privacy and incentive issues are t …
EPUB
английский
DRM
€82.42
Roozbeh Razavi-Far & Boyu Wang: Federated and Transfer Learning
This book provides a collection of recent research works on learning from decentralized data, transferring information from one domain to another, and addressing theoretical issues on improving the p …
PDF
английский
€149.79
Lixin Fan & Chee Seng Chan: Digital Watermarking for Machine Learning Model
Machine learning (ML) models, especially large pretrained deep learning (DL) models, are of high economic value and must be properly protected with regard to intellectual property rights (IPR).  …
PDF
английский
€149.79
Kai Chen & Qiang Yang: Privacy-preserving Computing
PDF
английский
DRM
€64.44